| 一种基于密度的空间聚类算法 |
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| 引用本文： | 王晓洁,方丽娜.一种基于密度的空间聚类算法[J].新乡学院学报(自然科学版),2008(1):59-61. |
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| 作者姓名： | 王晓洁 方丽娜 |
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| 作者单位： | 新乡学院计算机科学系,河南新乡453003 |
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| 摘 要： | 针对DBSCAN算法I／O开销和内存消耗大的缺陷，提出了基于层次合并的密度算法，基于密度的空间聚类算法可以有效地过滤噪声和孤立点数据，该算法在对于处理较大数据集上具有较大优势。
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| 关 键 词： | 空间聚类算法 密度 DBSCAN 较大数据集 |
A Special Density-based Spatial Clustering Method |
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| Authors: | WANG Xiao-jie FANG Li-na |
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| Institution: | (Computer Science Department,Xinxiang University,Xinxiang 453003,China) |
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| Abstract: | In this article, in order to deal with the limitation of DBSCAN which I/O spending and memory-expand being very big, the author puts forward a new special algorithm which is based on density and hierarchical. Density-based spatial clustering algorithm could filtrate yawp data and isolate points effectively, this method is useful for big dataset. |
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| Keywords: | spatial clustering density DBSCAN big dataset |
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